Super-resolution X-ray Shadowgraph Imaging via Computational Fusion
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Solution Overview
Problem
The resolution of X-ray shadowgraph technology is limited by the size of the X-ray source, hindering the achievement of high-resolution images in applications such as medical diagnosis and industrial non-destructive testing.
Innovation Solution
A super-resolution X-ray shadowgraph system comprising an X-ray source, a sample stage with a through hole, an X-ray detector, and an image reconstruction device, where the geometric centers are collinear, with adjustable distances and telescopic optical brackets, and an imaging method involving Fourier transforms and inverse convolutions to enhance image clarity and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the size of the X-ray source is reduced to improve resolution, then the image resolution is improved, but the X-ray intensity and penetration capability deteriorate
Solution Approach 1:
The patent divides the imaging process into two stages: first capturing a low-resolution image with a large-area X-ray source to ensure sufficient intensity and penetration, then capturing a high-resolution image of a specific region with a smaller effective source size. This segmentation allows the system to obtain both high intensity and high resolution by processing different regions separately and combining them through image fusion algorithms.
Solution Approach 2:
The patent introduces a temporal dimension by capturing multiple images at different time points and positions. The system takes a first image with the large-area source, then moves to a second imaging position to capture a second image with higher resolution. By combining these images across different dimensions (spatial and temporal), the system achieves super-resolution without requiring the source to be continuously small.
2Measurement precision
If the size of the X-ray source is reduced to improve resolution, then the image resolution is improved, but the imaging speed and productivity deteriorate
Solution Approach 1:
The patent performs preliminary imaging with the large-area X-ray source to capture the overall structure and identify regions of interest. This preliminary action allows the system to pre-plan the subsequent high-resolution imaging, determining which specific areas require detailed examination. By preparing the imaging plan in advance based on the initial low-resolution image, the system avoids unnecessary high-resolution scanning of entire areas, thus improving overall imaging speed.
Solution Approach 2:
The patent employs dynamic imaging where the system adapts its imaging strategy based on the initial results. After capturing the first image with the large-area source, the system dynamically adjusts by moving to specific positions for second imaging only where high resolution is needed. This dynamic approach, combined with automated image fusion, maintains high productivity while achieving high resolution in critical areas.
3Measurement precision
If the size of the X-ray source is reduced to improve resolution, then the image resolution is improved, but the device complexity increases
Solution Approach 1:
The patent makes the existing large-area X-ray source perform multiple functions: it serves as both the primary imaging source for low-resolution overview imaging and, through selective region imaging and image fusion algorithms, enables high-resolution imaging capability. The system also uses the same detector and processing hardware for both low-resolution and high-resolution modes, avoiding the need for separate specialized equipment and reducing overall system complexity.
Solution Approach 2:
The patent creates a virtual high-resolution image by fusing information from the low-resolution first image and the high-resolution second image. Instead of physically replacing the large-area source with a smaller one, the system uses computational methods to generate a high-resolution representation. This copying approach allows the system to achieve high resolution through software processing rather than hardware replacement, significantly reducing device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system and method produce clearer and higher-resolution X-ray images by overcoming the resolution limitations imposed by the source size, enabling more precise imaging in various fields.
Implementation Method 1
The X-ray source is configured to provide X-rays
Implementation Method 2
the X-rays are capable of penetrating the sample stage to form an image on the X-ray detector
Implementation Method 3
when the X-rays pass through materials with different densities and thicknesses, some of X-rays photons are attenuated because of different absorption levels of the materials
Data Source
AI summary
A super-resolution X-ray shadowgraph system includes an X-ray source, a sample stage, an X-ray detector and an image reconstruction device, which are arranged in sequence. Geometric centers of the X-ray source, the sample stage and the X-ray detector are collinear. The geometric center of the sample stage is provided with a through hole for placing a testing sample, the X-ray source is used for providing X-rays, and the X-rays penetrate the sample stage to form an image on the X-ray detector. The image reconstruction device is used for acquiring the image and performing an image reconstruction on the image to obtain a new image. The shadowgraph system and the imaging method therefor can overcome a deficiency of a lower resolution of the image limited by a size of the source, thereafter obtaining a clear shadowgraph with a high resolution.